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Sunday, November 26, 2017

Why all the Focus on Artificial Intelligence? | TG Daily - Technology

In an article for TG Daily, Michael Manning says, "Artificial Intelligence is dominating all Industries, primarily Mobile App development. Why tech news is all about AI and why Google’s focus on AI-infused Apps."

Photo: TG Daily
Artificial Intelligence means Intelligence for machines. The effort to make better and more efficient technology has been going on since the moment we discovered electricity. We have always thought of creating better and more amazing machines"

Creating machines that can process faster and more accurate than humans could ever do is no longer enough. We need better machines, smarter machines. How do we do that? By making them artificially intelligent. By devising, some way that would enable the machines so, they could 'think' for themselves, without any human intervention. That is what Artificial Intelligence is, and it's flooding the markets like an epidemic. Doubtful? Take a look at what the experts think.

Believe in the saying 'There is strength in numbers?' Well, AI does. AI did not progress on its own. Initially when it was just AI, or now termed as 'Narrow AI' we accomplished specific tasks that were as good as humans or better. Things like facial recognition on Facebook or cataloging images, done by Pinterest. With the help of Machine Learning and Deep learning, we might be able to bridge reality and fiction.

I visualize a time when we will be to robots what dogs are to humans, and I'm rooting for the machines - Claude Shanon.

Machine Learning, ML, and Deep Leaning, DL, is not so much different from AI. They are just more advanced techniques of achieving AI. Machine learning is basically, parsing data and reading it through a set of algorithms and learning something about the world. That beats hard-coding specific tasks for the machine. This way the machine LEARNS to perform a given function instead of some programmer 'hard-coding 'it. ML allowed performing more valuable and accurate tasks.

ML dominated computer vision for quite some time. But the level of accuracy and errors wasn't impressive. For instance, reading a board sign saying 'S-T-O-P' was great, but only in clear weather and no obscuring objects in between.

Don't give up yet, after machine learning came Deep Learning. In our quest to machine-travel as close as possible to the human brains, Deep learning brought us, Neural Networks. They are inspired by the biology of a human brain. Working in layers and layers of neurons...

...Better start getting ready for an all-out AI attack on our industry. All major organizations and companies recognize the golden opportunity to invest in AI and so should you!
Read more... 

Recommended Reading
E-Learning Future: How Computerized Analysis Will Enhance Our Development by Michael Manning.
Photo: TG Daily
"E-Learning has become one of the newest trends in big corporations as well as in small companies."

Source: TG Daily (blog)